Search Results for: and hungate ba

Artist's rendering of the Carbon locked up inside a plant's roots.

Meta-Analysis

Overview Over the past several decades, scientists have conducted hundreds of experiments investigating responses of ecosystems to global environmental change. Ecoss synthesizes many of these responses using a statistical technique called meta-analysis. This approach considers all the measurements together and quantifies the overall response, testing whether responses vary among ecosystems, […]

Core of permafrost with a lens of ice at its deepest end.

Soil Microbial Ecology

Soil microorganisms are biogeochemical forces of global significance. They affect nutrient availability to plants, the amount of carbon stored in soils, and the evolution of the atmosphere over geologic time. The research we conduct in Ecoss examines many aspects of soil microbial ecology. Metabolic Flux Analysis of Soil Microbial Communities […]

Early morning at the Carbon in Permafrost Experimental Heating Project (CiPEHR) in Alaska with permafrost in the foreground, mountains in the background.

Future Ecosystems

Early morning at the Carbon in Permafrost Experimental Heating Project (CiPEHR) in Alaska with permafrost in the foreground, mountains in the background.

Early morning at the Carbon in Permafrost Experimental Heating Project (CiPEHR) in Alaska

Global change affects plants and soil in ecosystems across the globe. By doing so, it can alter the composition of ecosystems and the functions they provide. For instance, even small changes in plant growth and soil properties can have a large impact on the amount of CO2 and other greenhouse gases in the atmosphere. At Ecoss, we use field experiments to manipulate the temperature, rainfall and other environmental factors in various ecosystems. This allows us to mimic future conditions, and helps us understand how future ecosystems will differ from the ones today. (more…)

Virus bacteria cells as seen in a three-dimensional microscopic rendering.

Human Microbiome

Ecoss studies the microbial communities of the human body and the implications for disease including STDs and HIV, as well as analyzing the microbial community using bioinformatics, community ecology theory and Bayesian statistical modeling.